Fuzzy Methods in Quantitative Risk Analysis of Construction Project

This paper presents a review of fuzzy risk analysis methods in a construction project. According to the literature review that has been done, the methods can be generally classified into two types; fuzzy set based on fuzzy arithmetic operation and fuzzy inference mechanism. The recent trends are inc...

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Main Authors: Rohman, M.Arif, Idrus, Arazi
Format: Conference or Workshop Item
Published: 2008
Subjects:
Online Access:http://eprints.utp.edu.my/5396/1/NPC2008_Fuzzy_Methods_in_Quantitative_Risk_Analysis.pdf
http://eprints.utp.edu.my/5396/
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spelling my.utp.eprints.53962017-01-19T08:26:17Z Fuzzy Methods in Quantitative Risk Analysis of Construction Project Rohman, M.Arif Idrus, Arazi TA Engineering (General). Civil engineering (General) QA76 Computer software This paper presents a review of fuzzy risk analysis methods in a construction project. According to the literature review that has been done, the methods can be generally classified into two types; fuzzy set based on fuzzy arithmetic operation and fuzzy inference mechanism. The recent trends are inclined towards the use of fuzzy inference mechanism in developing decision support system tools for risk analysis. Fuzzy risk analysis methods have been developed to provide an alternative technique to overcome the limitation of classical probability theory in construction project risk analysis. However, some gaps are still present. Some limitations related to the models are still yet to be addressed. Therefore, extended researches are still required to be conducted in some areas which have not been covered 2008-03-31 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/5396/1/NPC2008_Fuzzy_Methods_in_Quantitative_Risk_Analysis.pdf Rohman, M.Arif and Idrus, Arazi (2008) Fuzzy Methods in Quantitative Risk Analysis of Construction Project. In: National Prostgrawduate Conference 2008, 31 March 2008, Universiti Teknologi PETRONAS. http://eprints.utp.edu.my/5396/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TA Engineering (General). Civil engineering (General)
QA76 Computer software
spellingShingle TA Engineering (General). Civil engineering (General)
QA76 Computer software
Rohman, M.Arif
Idrus, Arazi
Fuzzy Methods in Quantitative Risk Analysis of Construction Project
description This paper presents a review of fuzzy risk analysis methods in a construction project. According to the literature review that has been done, the methods can be generally classified into two types; fuzzy set based on fuzzy arithmetic operation and fuzzy inference mechanism. The recent trends are inclined towards the use of fuzzy inference mechanism in developing decision support system tools for risk analysis. Fuzzy risk analysis methods have been developed to provide an alternative technique to overcome the limitation of classical probability theory in construction project risk analysis. However, some gaps are still present. Some limitations related to the models are still yet to be addressed. Therefore, extended researches are still required to be conducted in some areas which have not been covered
format Conference or Workshop Item
author Rohman, M.Arif
Idrus, Arazi
author_facet Rohman, M.Arif
Idrus, Arazi
author_sort Rohman, M.Arif
title Fuzzy Methods in Quantitative Risk Analysis of Construction Project
title_short Fuzzy Methods in Quantitative Risk Analysis of Construction Project
title_full Fuzzy Methods in Quantitative Risk Analysis of Construction Project
title_fullStr Fuzzy Methods in Quantitative Risk Analysis of Construction Project
title_full_unstemmed Fuzzy Methods in Quantitative Risk Analysis of Construction Project
title_sort fuzzy methods in quantitative risk analysis of construction project
publishDate 2008
url http://eprints.utp.edu.my/5396/1/NPC2008_Fuzzy_Methods_in_Quantitative_Risk_Analysis.pdf
http://eprints.utp.edu.my/5396/
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score 13.211869